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TZID:America/New_York
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TZOFFSETFROM:-0500
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DTSTART:20200308T070000
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DTSTART:20201101T060000
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DTSTART:20210314T070000
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TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
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TZOFFSETTO:-0400
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DTSTART:20220313T070000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210209T113000
DTEND;TZID=America/New_York:20210209T123000
DTSTAMP:20260507T080238
CREATED:20240126T091127Z
LAST-MODIFIED:20240126T091127Z
UID:10001429-1612870200-1612873800@cmsa.fas.harvard.edu
SUMMARY:2/9/2021 Computer Science for Math
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/2-9-2021-computer-science-for-math/
CATEGORIES:Computer Science for Mathematicians Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210210T100000
DTEND;TZID=America/New_York:20210210T120000
DTSTAMP:20260507T080238
CREATED:20240126T091253Z
LAST-MODIFIED:20240126T091253Z
UID:10001430-1612951200-1612958400@cmsa.fas.harvard.edu
SUMMARY:2/10/2021 Strongly Correlated Quantum Materials
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/2-10-2021-strongly-correlated-quantum-materials/
LOCATION:Virtual
CATEGORIES:Strongly Correlated Quantum Materials and High-Temperature Superconductors
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210210T150000
DTEND;TZID=America/New_York:20210210T160000
DTSTAMP:20260507T080238
CREATED:20240126T092338Z
LAST-MODIFIED:20240515T195824Z
UID:10001434-1612969200-1612972800@cmsa.fas.harvard.edu
SUMMARY:A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
DESCRIPTION:Speaker: Nikunj Saunshi\, Dept. of Computer Science\, Princeton University \nTitle: A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks \nAbstract: Autoregressive language models pretrained on large corpora have been successful at solving downstream tasks\, even with zero-shot usage. However\, there is little theoretical justification for their success. This paper considers the following questions: (1) Why should learning the distribution of natural language help with downstream classification tasks? (2) Why do features learned using language modeling help solve downstream tasks with linear classifiers? For (1)\, we hypothesize\, and verify empirically\, that classification tasks of interest can be reformulated as next word prediction tasks\, thus making language modeling a meaningful pretraining task. For (2)\, we analyze properties of the cross-entropy objective to show that eps-optimal language models in cross-entropy (log-perplexity) learn features that are O(sqrt{eps}) good on such linear classification tasks\, thus demonstrating mathematically that doing well on language modeling can be beneficial for downstream tasks. We perform experiments to verify assumptions and validate our theoretical results. Our theoretical insights motivate a simple alternative to the cross-entropy objective that performs well on some linear classification tasks. \n  \n 
URL:https://cmsa.fas.harvard.edu/event/2-10-2021-new-tech-in-math/
CATEGORIES:New Technologies in Mathematics Seminar
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/CMSA-New-Technologies-in-Mathematics-02.10.21.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210211T103000
DTEND;TZID=America/New_York:20210211T120000
DTSTAMP:20260507T080238
CREATED:20240126T090540Z
LAST-MODIFIED:20240126T090540Z
UID:10001428-1613039400-1613044800@cmsa.fas.harvard.edu
SUMMARY:2/11/2021 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/2-11-2021-quantum-matter-seminar/
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210215T100000
DTEND;TZID=America/New_York:20210215T110000
DTSTAMP:20260507T080238
CREATED:20240126T090436Z
LAST-MODIFIED:20240126T090436Z
UID:10001427-1613383200-1613386800@cmsa.fas.harvard.edu
SUMMARY:2/15/2021 Math Physics Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/2-15-2021-math-physics-seminar/
CATEGORIES:Mathematical Physics Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210216T133000
DTEND;TZID=America/New_York:20210216T143000
DTSTAMP:20260507T080238
CREATED:20240126T090101Z
LAST-MODIFIED:20240126T090101Z
UID:10001424-1613482200-1613485800@cmsa.fas.harvard.edu
SUMMARY:2/16/2021 Computer Science for Mathematicians
DESCRIPTION:Speaker: Michael P. Kim (UC Berkeley) \nTitle: Outcome Indistinguishability \nAbstract: Prediction algorithms assign numbers to individuals that are popularly understood as individual “probabilities” — e.g.\, what is the probability of 5-year survival after cancer diagnosis? — and which increasingly form the basis for life-altering decisions. The understanding of individual probabilities in the context of such unrepeatable events has been the focus of intense study for decades within probability theory\, statistics\, and philosophy. Building off of notions developed in complexity theory and cryptography\, we introduce and study Outcome Indistinguishability (OI). OI predictors yield a model of probabilities that cannot be efficiently refuted on the basis of the real-life observations produced by Nature. \nWe investigate a hierarchy of OI definitions\, whose stringency increases with the degree to which distinguishers may access the predictor in question.  Our findings reveal that OI behaves qualitatively differently than previously studied notions of indistinguishability.  First\, we provide constructions at all levels of the hierarchy.  Then\, leveraging recently-developed machinery for proving average-case fine-grained hardness\, we obtain lower bounds on the complexity of the more stringent forms of OI.  The hardness result provides scientific grounds for the political argument that\, when inspecting algorithmic risk prediction instruments\, auditors should be granted oracle access to the algorithm\, not simply historical predictions. \nJoint work with Cynthia Dwork\, Omer Reingold\, Guy N. Rothblum\, Gal Yona; to appear at STOC 2021.
URL:https://cmsa.fas.harvard.edu/event/2-16-2021-computer-science-for-mathematicians/
LOCATION:Virtual
CATEGORIES:Computer Science for Mathematicians Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210217T103000
DTEND;TZID=America/New_York:20210217T120000
DTSTAMP:20260507T080238
CREATED:20240126T090325Z
LAST-MODIFIED:20240126T090340Z
UID:10001426-1613557800-1613563200@cmsa.fas.harvard.edu
SUMMARY:Global Anomalies on the Hilbert Space
DESCRIPTION:Speaker:  Jaume Gomis (Perimeter PI) \nTitle: Global Anomalies on the Hilbert Space \nAbstract: We will discuss an elementary way of detecting some global anomalies from the way the symmetry algebra is realized on the torus Hilbert space of the anomalous theory\, give a physical description of the imprint of the “layers” that enter in the cobordism classification of anomalies and discuss applications\, including how anomalies can imply a supersymmetric spectrum in strongly coupled (nonsupersymmetric) gauge theories.
URL:https://cmsa.fas.harvard.edu/event/2-17-2021-quantum-matter-seminar/
LOCATION:Virtual
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210218T103000
DTEND;TZID=America/New_York:20210218T120000
DTSTAMP:20260507T080238
CREATED:20240126T090220Z
LAST-MODIFIED:20240126T090220Z
UID:10001425-1613644200-1613649600@cmsa.fas.harvard.edu
SUMMARY:2/18/2021 Quantum Matter Seminar
DESCRIPTION:Speaker:  Xiao-Gang Wen (MIT) \nTitle: A solution to the chiral fermion problem \nAbstract: Motivated by the relation between anomaly and topological/SPT order in one higher dimension\, we propose a solution to the chiral fermion problem. In particular\, we find several sufficient conditions\, such that a chiral fermion field theory can be regularized by an interacting lattice model in the same dimension. We also discuss some related issues\, such as mass without mass term\, and why ‘topological’ phase transitions are usually not “topological” phase transitions.
URL:https://cmsa.fas.harvard.edu/event/2-18-2021-quantum-matter-seminar/
LOCATION:Virtual
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210222T100000
DTEND;TZID=America/New_York:20210222T110000
DTSTAMP:20260507T080238
CREATED:20240126T085809Z
LAST-MODIFIED:20240126T085809Z
UID:10001423-1613988000-1613991600@cmsa.fas.harvard.edu
SUMMARY:Full SYZ Conjecture for del Pezzo Surfaces and Rational Elliptic Surfaces
DESCRIPTION:Speaker: Yu-Shen Lin (Boston University) \nTitle: Full SYZ Conjecture for del Pezzo Surfaces and Rational Elliptic Surfaces \nAbstract: Strominger-Yau-Zaslow conjecture predicts the existence of special Lagrangian fibrations on Calabi-Yau manifolds. The conjecture inspires the development of mirror symmetry while the original conjecture has little progress. In this talk\, I will confirm the conjecture for the complement of a smooth anti-canonical divisor in del Pezzo surfaces. Moreover\, I will also construct the dual torus fibration on its mirror. As a consequence\, the special Lagrangian fibrations detect a non-standard semi-flat metric and some Ricci-flat metrics that don’t obviously appear in the literature. This is based on a joint work with T. Collins and A. Jacob.
URL:https://cmsa.fas.harvard.edu/event/2-22-2021-math-physics-seminar/
CATEGORIES:Mathematical Physics Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210223T090000
DTEND;TZID=America/New_York:20210223T103000
DTSTAMP:20260507T080238
CREATED:20230707T115234Z
LAST-MODIFIED:20240103T093827Z
UID:10000905-1614070800-1614076200@cmsa.fas.harvard.edu
SUMMARY:CMSA Math-Science Literature Lecture: Homological (homotopical) algebra and moduli spaces in Topological Field theories
DESCRIPTION:Kenji Fukaya (Simons Center for Geometry and Physics) \nTitle: Homological (homotopical) algebra and moduli spaces in Topological Field theories \nAbstract: Moduli spaces of various gauge theory equations and of various versions of (pseudo) holomorphic curve equations have played important role in geometry in these 40 years. Started with Floer’s work people start to obtain more sophisticated object such as groups\, rings\, or categories from (system of) moduli spaces. I would like to survey some of those works and the methods to study family of moduli spaces systematically. \nTalk chair: Peter Kronheimer \nSlides | Video
URL:https://cmsa.fas.harvard.edu/event/cmsa-math-science-literature-lecture_fukaya/
LOCATION:Virtual
CATEGORIES:Event,Math Science Literature Lecture Series
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/Lecture_Fukaya-pdf.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210224T103000
DTEND;TZID=America/New_York:20210224T120000
DTSTAMP:20260507T080238
CREATED:20240126T084756Z
LAST-MODIFIED:20240126T084821Z
UID:10001420-1614162600-1614168000@cmsa.fas.harvard.edu
SUMMARY:2/24/2021 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/2-24-2021-quantum-matter-seminar/
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210224T113000
DTEND;TZID=America/New_York:20210224T123000
DTSTAMP:20260507T080238
CREATED:20240126T084225Z
LAST-MODIFIED:20240126T084225Z
UID:10001418-1614166200-1614169800@cmsa.fas.harvard.edu
SUMMARY:2/23/2021 Computer Science for Mathematicians
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/2-23-2021-computer-science-for-mathematicians/
LOCATION:Virtual
CATEGORIES:Computer Science for Mathematicians Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210224T150000
DTEND;TZID=America/New_York:20210224T160000
DTSTAMP:20260507T080238
CREATED:20240126T085540Z
LAST-MODIFIED:20240517T194101Z
UID:10001422-1614178800-1614182400@cmsa.fas.harvard.edu
SUMMARY:A Mathematical Language
DESCRIPTION:  \nSpeaker: Thomas Hales\, Univ. of Pittsburgh Dept. of Mathematics \nTitle: A Mathematical Language \nAbstract: A controlled natural language for mathematics is an artificial language that is designed in an explicit way with precise computer-readable syntax and semantics.  It is based on a single natural language (which for us is English) and can be broadly understood by mathematically literate English speakers.  This talk will describe the design of a controlled natural language for mathematics that has been influenced by the Lean theorem prover\, by TeX\, and by earlier controlled natural languages. The semantics are provided by dependent type theory.
URL:https://cmsa.fas.harvard.edu/event/2-24-2021-new-technologies-in-mathematics/
CATEGORIES:New Technologies in Mathematics Seminar
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/CMSA-New-Technologies-in-Mathematics-02.24.21.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210225T103000
DTEND;TZID=America/New_York:20210225T120000
DTSTAMP:20260507T080238
CREATED:20240126T084943Z
LAST-MODIFIED:20240126T084943Z
UID:10001421-1614249000-1614254400@cmsa.fas.harvard.edu
SUMMARY:2/25/2021 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/2-25-2021-quantum-matter-seminar/
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210301T100000
DTEND;TZID=America/New_York:20210301T110000
DTSTAMP:20260507T080238
CREATED:20240126T083833Z
LAST-MODIFIED:20240126T083848Z
UID:10001417-1614592800-1614596400@cmsa.fas.harvard.edu
SUMMARY:Mathematical supergravity and its applications to differential geometry
DESCRIPTION:Speaker: Carlos S. Shahbazi (Hamburg University) \nTitle: Mathematical supergravity and its applications to differential geometry \nAbstract: I will discuss the recent developments in the mathematical theory of supergravity that lay the mathematical foundations of the universal bosonic sector of four-dimensional ungauged supergravity and its Killing spinor equations in a differential-geometric framework.  I will provide the necessary context and background. explaining the results pedagogically from scratch and highlighting several open mathematical problems which arise in the mathematical theory of supergravity\, as well as some of its potential mathematical applications. Work in collaboration with Vicente Cortés and Calin Lazaroiu.
URL:https://cmsa.fas.harvard.edu/event/3-1-2021-mathematical-physics-seminar/
LOCATION:Hybrid
CATEGORIES:Mathematical Physics Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210302T113000
DTEND;TZID=America/New_York:20210302T123000
DTSTAMP:20260507T080238
CREATED:20240126T083705Z
LAST-MODIFIED:20240126T083705Z
UID:10001416-1614684600-1614688200@cmsa.fas.harvard.edu
SUMMARY:3/2/2021 Computer Science for Mathematicians
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-2-2021-computer-science-for-mathematicians/
CATEGORIES:Computer Science for Mathematicians Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210303T103000
DTEND;TZID=America/New_York:20210303T120000
DTSTAMP:20260507T080238
CREATED:20240126T083602Z
LAST-MODIFIED:20240131T002532Z
UID:10001415-1614767400-1614772800@cmsa.fas.harvard.edu
SUMMARY:3/3/2021 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-3-2021-quantum-matter-seminar/
LOCATION:Virtual
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210303T150000
DTEND;TZID=America/New_York:20210303T160000
DTSTAMP:20260507T080238
CREATED:20240126T084416Z
LAST-MODIFIED:20240517T194704Z
UID:10001419-1614783600-1614787200@cmsa.fas.harvard.edu
SUMMARY:Neural Theorem Proving in Lean using Proof Artifact Co-training and Language Models
DESCRIPTION:Speaker: Jason Rute\, CIBO Technologies \nTitle: Neural Theorem Proving in Lean using Proof Artifact Co-training and Language Models \nAbstract: Labeled data for imitation learning of theorem proving in large libraries of formalized mathematics is scarce as such libraries require years of concentrated effort by human specialists to be built. This is particularly challenging when applying large Transformer language models to tactic prediction\, because the scaling of performance with respect to model size is quickly disrupted in the data-scarce\, easily-overfitted regime. We propose PACT ({\bf P}roof {\bf A}rtifact {\bf C}o-{\bf T}raining)\, a general methodology for extracting abundant self-supervised data from kernel-level proof terms for co-training alongside the usual tactic prediction objective. We apply this methodology to Lean\, an interactive proof assistant which hosts some of the most sophisticated formalized mathematics to date. We instrument Lean with a neural theorem prover driven by a Transformer language model and show that PACT improves theorem proving success rate on a held-out suite of test theorems from 32% to 48%.
URL:https://cmsa.fas.harvard.edu/event/3-3-2021-new-tech-in-math/
LOCATION:Virtual
CATEGORIES:New Technologies in Mathematics Seminar
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/CMSA-New-Technologies-in-Mathematics-03.03.21.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210304T103000
DTEND;TZID=America/New_York:20210304T120000
DTSTAMP:20260507T080238
CREATED:20240126T083259Z
LAST-MODIFIED:20240126T083259Z
UID:10001413-1614853800-1614859200@cmsa.fas.harvard.edu
SUMMARY:3/4/2021 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-4-2021-quantum-matter-seminar/
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210308T100000
DTEND;TZID=America/New_York:20210308T110000
DTSTAMP:20260507T080238
CREATED:20240213T085724Z
LAST-MODIFIED:20240213T085724Z
UID:10002275-1615197600-1615201200@cmsa.fas.harvard.edu
SUMMARY:3/8/2021 Math Physics Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-8-2021-math-physics-seminar/
CATEGORIES:Mathematical Physics Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T113000
DTEND;TZID=America/New_York:20210310T123000
DTSTAMP:20260507T080238
CREATED:20240213T090036Z
LAST-MODIFIED:20240227T111850Z
UID:10002280-1615289400-1615379400@cmsa.fas.harvard.edu
SUMMARY:3/9/2021 Computer Science for Mathematicians
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-9-2021-computer-science-for-mathematicians/
CATEGORIES:Computer Science for Mathematicians Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210310T150000
DTEND;TZID=America/New_York:20210310T160000
DTSTAMP:20260507T080238
CREATED:20240126T083441Z
LAST-MODIFIED:20240517T194750Z
UID:10001414-1615388400-1615392000@cmsa.fas.harvard.edu
SUMMARY:The Ramanujan Machine: Using Algorithms for the Discovery of Conjectures on Mathematical Constants
DESCRIPTION:Speaker: Ido Kaminer\, Technion – Israel Institute of Technology\, Faculty of Electrical Engineering \nTitle: The Ramanujan Machine: Using Algorithms for the Discovery of Conjectures on Mathematical Constants \nAbstract: In the past\, new conjectures about fundamental constants were discovered sporadically by famous mathematicians such as Newton\, Euler\, Gauss\, and Ramanujan. The talk will present a different approach – a systematic algorithmic approach that discovers new mathematical conjectures on fundamental constants. We call this approach “the Ramanujan Machine”. The algorithms found dozens of well-known formulas as well as previously unknown ones\, such as continued fraction representations of π\, e\, Catalan’s constant\, and values of the Riemann zeta function. Part of the conjectures were in retrospect simple to prove\, whereas others remained so far unproved. We will discuss these puzzles and wider open questions that arose from this algorithmic investigation – specifically\, a newly-discovered algebraic structure that seems to generalize all the known formulas and connect between fundamental constants. We will also discuss two algorithms that proved useful in finding conjectures: a variant of the meet-in-the-middle algorithm and a gradient descent algorithm tailored to the recurrent structure of continued fractions. Both algorithms are based on matching numerical values; consequently\, they conjecture formulas without providing proofs or requiring prior knowledge of the underlying mathematical structure. This way\, our approach reverses the conventional usage of sequential logic in formal proofs; instead\, using numerical data to unveil mathematical structures and provide leads to further mathematical research.
URL:https://cmsa.fas.harvard.edu/event/3-10-2021-new-tech-in-math/
LOCATION:Virtual
CATEGORIES:New Technologies in Mathematics Seminar
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/CMSA-New-Technologies-in-Mathematics-03.10.21.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210310T193000
DTEND;TZID=America/New_York:20210310T210000
DTSTAMP:20260507T080238
CREATED:20240213T090317Z
LAST-MODIFIED:20240213T090317Z
UID:10002282-1615404600-1615410000@cmsa.fas.harvard.edu
SUMMARY:3/10/2021 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-10-2021-quantum-matter-seminar/
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210311T103000
DTEND;TZID=America/New_York:20210311T120000
DTSTAMP:20260507T080238
CREATED:20240126T082804Z
LAST-MODIFIED:20240126T082804Z
UID:10001410-1615458600-1615464000@cmsa.fas.harvard.edu
SUMMARY:3/11/2021 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-11-2021-quantum-matter-seminar/
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210317T103000
DTEND;TZID=America/New_York:20210318T120000
DTSTAMP:20260507T080238
CREATED:20240126T081353Z
LAST-MODIFIED:20240126T081353Z
UID:10001408-1615977000-1616068800@cmsa.fas.harvard.edu
SUMMARY:Exact symmetries and threshold states in two-dimensional models for QCD
DESCRIPTION:Speaker: Silviu Pufu (Princeton University) \nTitle: Exact symmetries and threshold states in two-dimensional models for QCD \nAbstract: Two-dimensional QCD models form an interesting playground for studying phenomena such as confinement and screening.  In this talk I will describe one such model\, namely a 2d SU(N) gauge theory with an adjoint and a fundamental fermion\, and explain how to compute the spectrum of bound states using discretized light-cone quantization at large N.  Surprisingly\, the spectrum of the discretized theory exhibits a large number of exact degeneracies\, for which I will provide two different explanations.  I will also discuss how these degeneracies provide a physical picture of confinement in 2d QCD with just a massless adjoint fermion.  This talk is based on joint work with R. Dempsey and I. Klebanov.
URL:https://cmsa.fas.harvard.edu/event/3-17-2021-quantum-in-mathematics-and-physics/
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210318T120000
DTEND;TZID=America/New_York:20210318T133000
DTSTAMP:20260507T080238
CREATED:20240126T081218Z
LAST-MODIFIED:20240126T081239Z
UID:10001407-1616068800-1616074200@cmsa.fas.harvard.edu
SUMMARY:3/18/2021 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-18-2021-quantum-matter-seminar/
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210322T100000
DTEND;TZID=America/New_York:20210322T110000
DTSTAMP:20260507T080238
CREATED:20240126T081458Z
LAST-MODIFIED:20240126T081458Z
UID:10001409-1616407200-1616410800@cmsa.fas.harvard.edu
SUMMARY:3/22/2021 Mathematical Physics Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-22-2021-mathematical-physics-seminar/
LOCATION:Virtual
CATEGORIES:Mathematical Physics Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210323T113000
DTEND;TZID=America/New_York:20210323T123000
DTSTAMP:20260507T080238
CREATED:20240126T081109Z
LAST-MODIFIED:20240126T081109Z
UID:10001406-1616499000-1616502600@cmsa.fas.harvard.edu
SUMMARY:3/23/2021 Computer Science for Mathematicians
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-23-2021-computer-science-for-mathematicians/
CATEGORIES:Computer Science for Mathematicians Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210324T120000
DTEND;TZID=America/New_York:20210324T133000
DTSTAMP:20260507T080238
CREATED:20240126T080852Z
LAST-MODIFIED:20240126T080852Z
UID:10001404-1616587200-1616592600@cmsa.fas.harvard.edu
SUMMARY:3/24/2021 Quantum Matter seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-24-2021-quantum-matter-seminar/
CATEGORIES:Quantum Matter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210324T150000
DTEND;TZID=America/New_York:20210324T160000
DTSTAMP:20260507T080238
CREATED:20240126T083019Z
LAST-MODIFIED:20240515T195432Z
UID:10001411-1616598000-1616601600@cmsa.fas.harvard.edu
SUMMARY:Word and Graph Embeddings for Machine Learning
DESCRIPTION:Speaker: Steve Skiena\, Dept. of Computer Science and AI Insititute\, Stony Brook University \nTitle: Word and Graph Embeddings for Machine Learning \nAbstract: DeepWalk is an approach we have developed to construct vertex embeddings: vector representations of vertices which be applied to a very general class of problems in data mining and information retrieval. DeepWalk exploits an appealing analogy between sentences as sequences of words and random walks as sequences of vertices to transfer deep learning (unsupervised feature learning) techniques from natural language processing to network analysis. It has become extremely popular\, having been cited by over 4600 research papers since its publication at KDD 2014. In this talk\, I will introduce the notion of graph embeddings\, and demonstrate why they make such powerful features for machine learning applications. I will focus on more recent efforts concerning (1) fast embedding methods for very large networks\, (2) techniques for embedding dynamic graphs\, and (3) embedding spaces as models for knowledge generation. \n  \n 
URL:https://cmsa.fas.harvard.edu/event/3-24-2021-new-tech-in-math-seminar/
CATEGORIES:New Technologies in Mathematics Seminar
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/CMSA-New-Technologies-in-Mathematics-03.24.21.png
END:VEVENT
END:VCALENDAR